iPhone 12 Pro
Geekbench AI Score
2341
Single Precision Score
3657
Half Precision Score
3019
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | pathawks |
| Upload Date | August 20 2024 11:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1164
216.5 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (Q)
|
99% |
1473
274.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8774
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1154
91.6 IPS |
|
|
Object Detection (HP)
|
97% |
1721
137.0 IPS |
|
|
Object Detection (Q)
|
94% |
1334
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2195
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4162
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6873
53.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3468
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12046
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20028
25.7 IPS |
|
|
Style Transfer (Q)
|
100% |
19934
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2563
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2925
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3323
4.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1579
27.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2645
45.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2452
42.4 IPS |
